An Intelligent Agent based Novel Framework for Building Management System using Artificial Intelligence

摘要

This paper proposes novel framework for designing of an Artificial Intelligence based Building Management System (AIBMS) with a special emphasis on intelligent agent based systems, neural networks, fuzzy logic, and genetic algorithms. The proposed methodology has the capability to perform user preferences intelligently and more adaptively which are focused on improving the comfort of user, safety and enhanced energy performance especially in the Internet of Things IoT based buildings. The proposed framework of AIBMS consists of subsystems of identifying the smart user, internal and external environment observation subsystems, an artificial intelligent decision making subsystem and also a universal infrared based communication system. Furthermore, the proposed framework is connected by a trained intelligent agent for monitoring the whole architecture. The entire system is quick installable, flexible plug and play concept for most of the residential and buildings automation applications without any change in the present infrastructure.